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Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation
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To run the code: python main.py Requirements: torch 1.0.0 and some other libraries... Data Download Links: (1) Air Quality Data: URL: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/STMVL-Release.zip (2) Health-care Data: URL: https://physionet.org/challenge/2012/ We use the test-a.zip in our experiment. (3) Human Activity Data: URL: https://archive.ics.uci.edu/ml/datasets/Localization+Data+for+Person+Activity Paper Link: https://www.aaai.org/AAAI21Papers/AAAI-7391.MiaoX.pdf If you have any question, please contact "[email protected]". Citation: @InProceedings{miao2021generative, Title = {Generative Semi-supervised Learning for Multivariate Time Series Imputation}, Author = {Miao, Xiaoye and Wu, Yangyang and Wang, Jun and Gao, Yunjun and Mao, Xudong and Yin, Jianwei}, Booktitle = {AAAI}, Year = {2021} }
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